Research Article
Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm
Table 3
The RMSE,
,
, and MAPE of five different models in Lanzhou site and Lijin site (where boldface font indicates the best performance).
| Site | Model | RMSE | | | MAPE |
| Lanzhou | IDW | 12.39 | 0.8571 | 0.7426 | 41.36% | COK | 11.32 | 0.8897 | 0.7918 | 35.71% | SIDM | 10.72 | 0.9016 | 0.8127 | 32.65% | OIDM | 10.19 | 0.9089 | 0.8194 | 29.71% | GIDM | 6.48 | 0.9367 | 0.8457 | 12.33% |
| Lijin | IDW | 10.26 | 0.7983 | 0.6860 | 52.73% | COK | 9.07 | 0.8258 | 0.7169 | 43.34% | SIDM | 9.01 | 0.8617 | 0.7607 | 41.28% | OIDM | 8.25 | 0.8865 | 0.7815 | 36.45% | GIDM | 5.97 | 0.9260 | 0.8213 | 18.42% |
| The average | IDW | 11.325 | 0.8277 | 0.7143 | 47.05% | COK | 10.195 | 0.85775 | 0.75435 | 39.53% | SIDM | 9.865 | 0.88165 | 0.7867 | 36.97% | OIDM | 9.22 | 0.8977 | 0.80045 | 33.08% | GIDM | 6.225 | 0.9314 | 0.8335 | 15.38% |
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